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Inverse Synthetic-Aperture Radar(ISAR) Images Recognition Using Deep Learning

2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA), 2020
We propose a method to recognize and classify inverse synthetic-aperture radar (ISAR) images of a target. The information that is combined from various image frames, it is generally in the context of time-averaging to remove statistically atomic noise shifts in the images.
Abhishek Avadhani   +3 more
openaire   +2 more sources

Analysis of jamming on inverse synthetic aperture radar (ISAR)

SPIE Proceedings, 2005
Inverse synthetic aperture radar (ISAR) is a powerful means in target identifying, especially the target in the air, which can image the moving target. There is little study on modeling and resistance technique according to ISAR in China. This paper establishes a model of ISAR system, and then studies on some valid jamming technique.
Zhou-an Han, Yi-ming Pi, Jian-yu Yang
openaire   +2 more sources

Data Level Fusion of Multilook Inverse Synthetic Aperture Radar (ISAR) Images

35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06), 2006
Although techniques for resolution enhancement in single-aspect radar imaging have made rapid progress in recent years, it does not necessarily imply that such enhanced images will improve target identification or recognition. However, when multiple looks of the same target from different aspects are obtained, the available knowledge base increases ...
Zhixi Li, Ram M. Narayanan
openaire   +2 more sources

Autofocus for inverse synthetic aperture radar (ISAR) imaging by beamforming

Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197), 2002
Autofocus is critical for inverse synthetic aperture radar (ISAR) imaging. This paper develops two new approaches of autofocus for ISAR imaging based on beamforming. The ISAR observation model is established and the proposed approaches are described in detail.
null Zhishun She, R.E. Bogner, D.A. Gray
openaire   +2 more sources

A comparison of some electronic countermeasures on Inverse Synthetic Aperture Radar (ISAR)

Journal of Electronics (China), 2006
Inverse Synthetic Aperture Radar (ISAR) is an important means for target classification, recognition, identification and many other military applications. A simulation model of ISAR system is established after analyzing the principle of ISAR imaging, and then several ECM (Electronic Counter Measurement) techniques are studied.
Luhong Fan   +3 more
openaire   +2 more sources

Distortion in the inverse synthetic aperture radar (ISAR) images of a target with time-varying perturbed motion

IEE Proceedings - Radar, Sonar and Navigation, 2003
Large distortion in ISAR images of a moving target has been investigated and demonstrated under controlled experiments. The distortion is a result of small time-varying perturbed motion experienced by the target and is attributed to a modulation effect in the phase of the radar return from the target.
S.K. Wong, G. Duff, E. Riseborough
openaire   +2 more sources

Effect Of Data Reduction On Inverse Synthetic Aperture Radar (ISAR) Image Quality And Target Shape Descriptions

Optical Engineering, 1982
This paper is a preliminary report on investigations into the effects of data reduction on inverse synthetic aperture radar (ISAR) image quality and classifier performance. The case considered here is the effect of decimating the ISAR radar returns. Decimation of the type described induces image aliasing because of the signal processing involved in ...
A. Gorin
openaire   +2 more sources

Nearfield Multiple-Input Multiple-Output Inverse Synthetic Aperture Radar for High-Resolution Imaging of Large Objects

European Radar Conference, 2023
The inverse synthetic aperture radar (ISAR) principle is utilized in combination with a multiple-input multiple-output (MIMO) radar imaging system in order to generate high-resolution images of large objects.
Marius Brinkmann   +2 more
semanticscholar   +1 more source

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